| 一种多输入单输出Hammerstein系统的集成辨识方法 |
| |
| 引用本文： | 孔金生,万百五.一种多输入单输出Hammerstein系统的集成辨识方法[J].控制理论与应用,2005,22(4):517-519. |
| |
| 作者姓名： | 孔金生 万百五 |
| |
| 作者单位： | 1. 郑州大学,电气工程学院,河南,郑州,450002
2. 西安交通大学,系统工程研究所,陕西,西安,710049 |
| |
| 摘 要： | 针对多输入单输出(MISO)Hammerstein系统提出了一种稳态与动态辨识相结合的集成辨识方法.该方法利用稳态信息获取稳态模型的强一致性估计,并通过稳态模型以神经网络获得其非线性逼近函数,再利用动态信息辨识获取多输入单输出(MISO)Hammerstein系统的线性子系统未知参数的一致性估计.仿真结果表明了该方法的有效性和实用性.
|
| 关 键 词： | 多输入单输出Hammerstein系统 集成辨识 一致性估计 |
| 文章编号： | 1000-8152（2005）04-0517-03 |
| 收稿时间： | 2004-04-22 |
| 修稿时间： | 2004-04-222004-10-22 |
Integrated identification method for multi-input/single-output Hammerstein system |
| |
| KONG Jin-sheng,WAN Bai-wu.Integrated identification method for multi-input/single-output Hammerstein system[J].Control Theory & Applications,2005,22(4):517-519. |
| |
| Authors: | KONG Jin-sheng WAN Bai-wu |
| |
| Affiliation: | School of Electrical Engineering ,Zhengzhou University,Zhengzhou Henan 450002,China; Systems Engineering Institute,Xi'an Jiaotong University,Xi'an Shaanxi 710049,China |
| |
| Abstract: | An integrated identification method combining steady-state and dynamic identification is introduced for the multi-input/single-output(MISO) Hammerstein system.The strong consistent estimates of steady-state model are obtained by using steady-state data.The neural network can be used to approach nonlinearity function by using steady-state model.The consistent estimation of the linear unknown parameter of the the multi-input-single-output(MISO) Hammerstein system are obtained.The efficiency and applicability of this estimation technique is demonstrated by simulation results. |
| |
| Keywords: | multi-input/single-output Hammerstein system integrated identification consistent estimation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《控制理论与应用》浏览原始摘要信息 |
|
点击此处可从《控制理论与应用》下载全文 |
